The category of Time Series Databases (TSDB’s) has been the fastest growing database category for the last two years in a row, according to DB-Engines. This growth is being fueled by two major industry trends—the rapid instrumentation of the physical world driven by increasing investment in IoT systems, and the explosion in the software world of cloud-native applications and services, all of which are being instrumented for real-time visibility and control. In this webinar, we will discuss what time series data is, how it’s being used in the industry, and the benefits of storing time series data in a time series database.

1. Intro to Time Series:
The fastest growing database
category

2. HII’m Katy Farmer.
I’m a Developer Advocate at InfluxData, where we build a time series platform for
metrics and events.

3. What Is Time Series Data?
● High Volume
● Natural time order
● Value is increased by
timestamp
● More valuable as a data
set than as individual
points
Characteristics of time series data Think of Weather Data

4. What Is Time Series Data?
NOT TIME SERIES TIME SERIES

5. Why Do We Use Time Series Databases?
Scalability
Usability
Specialty

6. Scalability

7. ∎ 1500 hours flight time
∎ Reporting every 5s
∎ >1M data points for a single device
Time Series databases specialize in
higher writes with eventual
consistency, even across distributed
systems.

8. Usability

9. Interacting with our time series data should be easy
Modular tools allow for
customizable and specific
architecture
Specialized query languages to
interact w/data in the context
of time

10. Specialty

11. Time Series Data Is Special
● Tools can determine how we spend our resources
○ Time spent learning/optimizing tools
● Time series databases are optimized for time series data
○ Efficient
○ Performant
● Solution-focused

12. Time Series Is the Fastest Growing Category

14. Top Reasons Time Series Is the Fastest Growing
Database
Explosion of
Connected Things
Time Series Solves
Problems
Data-Driven Businesses Real-Time
Requirements
Adoption of
Monitoring
Processes

15. How is it being used?
Forecasting
Meteorology, finance,
machine learning
Internet of
Things
Smart homes, lights, drones,
or anything we can connect
to the Internet
15
Analytics
Track behavior, pattern
recognition
DevOps
Monitoring, log/error
reporting, decision pipeline

16. InfluxData Use Cases
Monitoring of the systems
and sensors across solar
and battery installations
providing greater visibility
and insight into energy
usage and maintenance.
“We analyze over 70,000
hours of data every night, half
a billion data points, to
produce alerts for our
technicians. Having this real-
time data in the cloud makes
it possible to identify trends,
usage patterns & even detect
problems before they exist!”
David McLean
Lead Developer at BBOXX
“InfluxDB has changed the
way that we work and
operate our platforms.”
“We couldn’t support our
services without it.”
Rob Frohnapfel
Director of Engineering
Comcast

17. What Now?
● Download InfluxDB--and its friends Telegraf, Chronograf, & Kapacitor
○ Open Source
○ Free
○ Takes 5 minutes
○ Makes you happy
○ https://portal.influxdata.com/downloads
● Visit our community site
○ Ask questions
○ Read user feedback
○ Makes you happy
○ https://community.influxdata.com/

18. THANKS!
Any questions?
@influxdb
@thekatertot
katy@influxdata.com
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